Introduction to probability models / Sheldon M. Ross.
Introduction to Probability Models.
Saved in:
| Online Access: |
Full Text (via ScienceDirect) |
|---|---|
| Main Author: | |
| Format: | eBook |
| Language: | English |
| Published: |
Boston :
Academic Press,
[1993]
|
| Edition: | Fifth edition. |
| Subjects: |
MARC
| LEADER | 00000cam a2200000xi 4500 | ||
|---|---|---|---|
| 001 | b10332403 | ||
| 003 | CoU | ||
| 005 | 20211210041802.0 | ||
| 006 | m o d | ||
| 007 | cr ||||||||||| | ||
| 008 | 141003s1993 maua ob 001 0 eng d | ||
| 019 | |a 898422360 |a 1035756469 |a 1124950115 |a 1162262201 | ||
| 020 | |a 9781483276588 |q (electronic bk.) | ||
| 020 | |a 1483276589 |q (electronic bk.) | ||
| 020 | |z 0125984553 | ||
| 020 | |z 9780125984553 | ||
| 020 | |z 0125984561 | ||
| 020 | |z 9780125984560 | ||
| 035 | |a (OCoLC)scd892067082 | ||
| 035 | |a (OCoLC)892067082 |z (OCoLC)898422360 |z (OCoLC)1035756469 |z (OCoLC)1124950115 |z (OCoLC)1162262201 | ||
| 037 | |a scd9780125984553 | ||
| 040 | |a OPELS |b eng |e rda |e pn |c OPELS |d N$T |d E7B |d YDXCP |d EBLCP |d DEBSZ |d OCLCQ |d MERUC |d INARC |d OCLCQ |d UKAHL |d BWN |d OCLCQ |d YDX |d OCLCA |d VLY |d LUN |d OCLCQ |d OCLCO |d OCLCQ | ||
| 049 | |a GWRE | ||
| 050 | 4 | |a QA273 |b .R84 1993eb | |
| 088 | |a 93009266 | ||
| 100 | 1 | |a Ross, Sheldon M. |0 http://id.loc.gov/authorities/names/n80131522 |1 http://isni.org/isni/0000000117686334. | |
| 245 | 1 | 0 | |a Introduction to probability models / |c Sheldon M. Ross. |
| 250 | |a Fifth edition. | ||
| 264 | 1 | |a Boston : |b Academic Press, |c [1993] | |
| 264 | 4 | |c ©1993. | |
| 300 | |a 1 online resource (xi, 556 pages) : |b illustrations. | ||
| 336 | |a text |b txt |2 rdacontent. | ||
| 337 | |a computer |b c |2 rdamedia. | ||
| 338 | |a online resource |b cr |2 rdacarrier. | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Front Cover; Introduction to Probability Models; Copyright Page; Table of Contents; Preface; Chapter 1. Introduction to Probability Theory; 1.1. Introduction; 1.2. Sample Space and Events; 1.3. Probabilities Defined on Events; 1.4. Conditional Probabilities; 1.5. Independent Events; 1.6. Bayes' Formula; Exercises; References; Chapter 2. Random Variables; 2.1. Random Variables; 2.2. Discrete Random Variables; 2.3. Continuous Random Variables; 2.4. Expectation of a Random Variable; 2.5. Jointly Distributed Random Variables; 2.6. Moment Generating Functions; 2.7. Limit Theorems. | |
| 505 | 8 | |a 2.8. Stochastic ProcessesExercises; References; Chapter 3. Conditional Probability and Conditional Expectation; 3.1. Introduction; 3.2. The Discrete Case; 3.3. The Continuous Case; 3.4. Computing Expectations by Conditioning; 3.5. Computing Probabilities by Conditioning; 3.6. Some Applications; Exercises; Chapter 4. Markov Chains; 4.1. Introduction; 4.2. Chapman-Kolmogorov Equations; 4.3. Classification of States; 4.4. Limiting Probabilities; 4.5. Some Applications; 4.6. Branching Processes; 4.7. Time Reversible Markov Chains; 4.8. Markov Decision Processes; Exercises; References. | |
| 505 | 8 | |a Chapter 5. The Exponential Distribution and the Poisson Process5.1. Introduction; 5.2. The Exponential Distribution; 5.3. The Poisson Process; 5.4. Generalizations of the Poisson Process; Exercises; References; Chapter 6. Continuous-Time Markov Chains; 6.1. Introduction; 6.2. Continuous-Time Markov Chains; 6.3. Birth and Death Processes; 6.4. The Kolmogorov Differential Equations; 6.5. Limiting Probabilities; 6.6. Time Reversibility; 6.7. Uniformization; 6.8. Computing the Transition Probabilities; Exercises; References; Chapter 7. Renewal Theory and Its Applications; 7.1. Introduction. | |
| 505 | 8 | |a 7.2. Distribution of N(t)7.3. Limit Theorems and Their Applications; 7.4. Renewal Reward Processes; 7.5. Regenerative Processes; 7.6. Semi-Markov Processes; 7.7. The Inspection Paradox; 7.8. Computing the Renewal Function; Exercises; References; Chapter 8. Queueing Theory; 8.1. Introduction; 8.2. Preliminaries; 8.3. Exponential Models; 8.4. Network of Queues; 8.5. The System M/G/1; 8.6. Variations on the M/G/1; 8.7. The Model G/M/1; 8.8. Multiserver Queues; Exercises; References; Chapter 9. Reliability Theory; 9.1. Introduction; 9.2. Structure Functions. | |
| 505 | 8 | |a 9.3. Reliability of Systems of Independent Components9.4. Bounds on the Reliability Function; 9.5. System Life as a Function of Component Lives; 9.6. Expected System Lifetime; 9.7. Systems with Repair; Exercises; References; Chapter 10. Brownian Motion and Stationary Processes; 10.1. Brownian Motion; 10.2. Hitting Times, Maximum Variable, and the Gambler's Ruin Problem; 10.3. Variations on Brownian Motion; 10.4. Pricing Stock Options; 10.5. White Noise; 10.6. Gaussian Processes; 10.7. Stationary and Weakly Stationary Processes; 10.8. Harmonic Analysis of Weakly Stationary Processes; Exercises. | |
| 520 | |a Introduction to Probability Models. | ||
| 546 | |a English. | ||
| 588 | 0 | |a Print version record. | |
| 650 | 0 | |a Probabilities. |0 http://id.loc.gov/authorities/subjects/sh85107090. | |
| 650 | 7 | |a Probabilities. |2 fast |0 (OCoLC)fst01077737. | |
| 776 | 0 | 8 | |i Print version: |a Ross, Sheldon M. |t Introduction to probability models. |b Fifth edition |z 0125984553 |w (DLC) 93009266 |w (OCoLC)27381657. |
| 856 | 4 | 0 | |u https://colorado.idm.oclc.org/login?url=https://www.sciencedirect.com/science/book/9780125984553 |z Full Text (via ScienceDirect) |
| 907 | |a .b103324033 |b 01-03-22 |c 02-05-19 | ||
| 998 | |a web |b 12-31-21 |c b |d b |e - |f eng |g mau |h 0 |i 1 | ||
| 907 | |a .b103324033 |b 01-03-22 |c 02-05-19 | ||
| 944 | |a MARS - RDA ENRICHED | ||
| 915 | |a - | ||
| 956 | |a ScienceDirect ebooks | ||
| 956 | |b ScienceDirect All Books | ||
| 999 | f | f | |i 00134e94-1f16-554e-a4da-b841b9e52dd5 |s af0b59ff-c80b-501c-86a4-a0b70c135457 |
| 952 | f | f | |p Can circulate |a University of Colorado Boulder |b Online |c Online |d Online |e QA273 .R84 1993eb |h Library of Congress classification |i web |n 1 |